Intelligent Systems Reference Library Machine Learning Paradigms: Artificial Immune Systems and Their Applications in Software Personalization, Book
88% of respondents would recommend this to a friend
ZMW 3295
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Artificial immune systems are presented as a valid metaphor towards the creation of abstract and high level representations of biological components or functions that lay the foundations for an alternative machine learning paradigm.
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Product Details
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | November, 2016 |
| Pages | 327 |
| Subgenre | Artificial Intelligence |
| Series title | Intelligent Systems Reference Library |
| Number in series | 118 |
| Edition | 2017 Edition |
| Publisher | Springer International Publishing |
| Original languages | English |
| Language | English |
| Edu focus | General |
| Educational level | Higher |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 0.81 x 9.21 in (15.6 x 2.1 x 23.4 cm) |
| Assembled product weight | 1.45 lb (660 grams) |
| Bisac subject heading | Computers |
Product Description
Intelligent Systems Reference Library Machine Learning Paradigms: Artificial Immune Systems and Their Applications in Software Personalization, Book 118, (Hardcover)
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ZMW 3295
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Features & Benefits
- Explore biologically inspired computing paradigms.
- Delve into artificial immune systems for machine learning.
- Address primary problems in pattern recognition.
- Develop algorithms for clustering, classification, and more.
- Gain insights into personalized software and recommender systems.
- Perfect for researchers, practitioners, and students in computational intelligence.
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